# [SciPy-dev] Summer Marathon "Category of the Week"

Nils Wagner nwagner@iam.uni-stuttgart...
Thu Jul 2 06:11:16 CDT 2009

```On Thu, 2 Jul 2009 12:20:12 +0200
Stéfan van der Walt <stefan@sun.ac.za> wrote:
> Hi marathon runners,
>
> Well done on the progress made last week!
>
> 2009/7/1 David Goldsmith <d_l_goldsmith@yahoo.com>:
>> Linear Algebra! (My favorite! :-))  Let's get it to pink
>>or better by next Wed!
>
> Excellent!  The linalg module is shown here:
>
> http://docs.scipy.org/numpy/docs/numpy.linalg/
>
> You can choose from:
>
> cholesky cond det eig eigh eigvals eigvalsh
> inv lstsq matrix_power norm inv qr solve svd tensorinv
>tensorsolve
>
> These mostly have decent docstrings already, so I'd
>suggest focusing
> on making the following more accessible to your typical
>linear algebra
> student:
>
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.eig/
>[1]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.qr/
>[2]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.norm/
>[3]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.svd/
>[4]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.tensorinv/
>[5]
>
> Have fun!
> Stéfan
>
> [1] In the notes section, describe right vs left
>eigenvectors.
> Personally, I think we can drop the reference to the
>characteristic
> polynomial (we
> don't solve it that way in any case).
>
> [2] Needs formatting and a link to an explanation of QR.
>
> [3] Describe what Frobenius means, or give a link to an
>appropriate reference.
>
> [4] Note Pauli's comment: indicate clearly that the
>decomposition A =
> U S V.T is returned (V.H for complex matrices).
>
> [5] Badly in need of some examples.
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Hi Stéfan,

Is there a chance to fix the following ticket
http://projects.scipy.org/numpy/ticket/937
in this context ?

Nils
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